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检索条件"任意字段=3rd Euro-NF Conference on Network Control and Optimization"

共 1643 条记录，以下是361-370 订阅

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Research on Optimal Power Flow Algorithm of Reactive Voltage in Distribution network Based on Improved PSO

Research on Optimal Power Flow Algorithm of Reactive Voltage...

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Power and Electrical Technology conference (APET), Asia

作者： Kuanhong Li Siyang Cao Zhongbo Xiao Dehuai Li Yicen Wang State Grid Taining Electric Power Company Ltd. Taining China State Grid Sanming Electric Power Company Ltd. Sanming China

ISBN: (数字)9798350367690

ISBN: (纸本)9798350367706

Aiming at the supply voltage quality problem of distribution network under the background of large-scale access of distributed clean energy, this paper presents a reactive voltage optimization method considering the risk of reactive voltage overlimit. According to the situation of the distribution network, the constraint model of the comprehensive optimization of the distribution network is extracted. With the minimum active power loss and voltage deviation rate of the distribution network as the optimization objective, the improved particle swarm optimization algorithm is used to establish the reactive power and voltage optimization model, and the optimal control strategy scheme of reactive power resources is generated. Finally, simulation experiments are carried out on the IEEE33 system using the proposed method. The experimental analysis results prove the effectiveness of the proposed algorithm.

关键词： Green energy Reactive power optimization models Asia Optimal control Distribution networks Voltage control Particle swarm optimization Load flow

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ICSRT 2022 - Proceedings of the 2022 3rd International conference on Service Robotics Technologies

ICSRT 2022 - Proceedings of the 2022 3rd International Confe...

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3rd International conference on Service Robotics Technologies, ICSRT 2022

ISBN: (纸本)9781450376921

The proceedings contain 12 papers. The topics discussed include: research and design of live working robot system in distribution network;robot exploration based on small areas priority strategy;complete-coverage path planning algorithm of multiple mobile robots based on reliability functions;a high telepresence visual perception method based on VR technology, depth camera and three degree of freedom series robot;active disturbance rejection control for the synchronizer engagement with a proportional pressure reducing valve;prospects of nuclear power plant operation and maintenance technology in the era of artificial intelligence;an extension research of Hamilton-Jacobi-Bellman equation;an adaptive resolution OctoMap method based on point cloud density analysis;and research on simulation and optimization technology of needle valve seating force of engine high pressure common rail injector.

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Unleashing the Potential of IoT Integration for Energy optimization in Smart Homes

Unleashing the Potential of IoT Integration for Energy Optim...

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Power Electronics & IoT Applications in Renewable Energy and its control (PARC), 2020 International conference on

作者： Shivam Tiwari Aditya Bhushan Ashutosh Kumar Singh Rakesh Kumar Yadav Department of Mechanical Engineering United College of Engineering & Research Prayagraj India Department of Computer Science and Engineering United College of Engineering & Research Prayagraj India

This research paper explores the transformative potential of integrating Internet of Things (IoT) devices into smart home technologies, ushering in a new era of energy-efficient living. Focusing on energy optimization, the paper examines the intricate network of interconnected devices shaping efficient residential ecosystems. Beginning with an investigates specific devices such as smart thermostats and intelligent lighting systems. Through meticulous analysis of user behavior, it unveils how these devices influence and mold household energy consumption. Spotlighting data analytics, the paper reveals the power of information processing for personalized, efficient energy management. Addressing challenges like privacy and interoperability, it proposes innovative solutions for seamless IoT integration. The research concludes with an environmental assessment, emphasizing the symbiotic relationship between IoT and smart homes in fostering a sustainable and eco-friendly future.

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Bio-Inspired optimization Algorithm in Optimum Relay Selection for Cooperative Transmission networks 3

Bio-Inspired Optimization Algorithm in Optimum Relay Selecti...

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3rd International conference on Power, Energy, control and Transmission Systems, ICPECTS 2022

作者： Mannan, Eqbhal Mohammad Abdul Nagabhooshanam, E. Moinuddin, Mohammed Moazzam Vathsal, S. Osmania University Department of Electronics and Communication Engineering Telangana Hyderabad500007 India CMR Engineering College Department of Electronics and Communication Engineering Telangana Hyderabad501401 India Maulana Azad National Urdu University Polytechnic Department of Electronics and Communication Karnataka Bangalore560072 India DRDO Telangana Hyderabad500058 India

ISBN: (纸本)9781665462754

Multipath propagation, which causes channel fading, is one of the significant flaws in wireless network signal transmission. Cooperative Communication (CC) is a technique for reducing the impact of channel fading by leveraging the diversity gain made available by collaborating with several nodes and/or relays. Because of the size and complexity limits of wireless mobile devices, nodes with more than one transmitting antenna are uncommon. The scenario entails investigating a network that includes a sender, a receiver, and a relay. Two common CC mechanisms for increasing transmission reliability are amplifying and forward and decoding and forward. Relay nodes gather, process, and retransmit data to improve the signal-to-noise ratio (SNR) at the receiving end. To improve the overall efficiency of the system, we propose bio-inspired systems in which two parties exchange data via distinct relay nodes. The Artificial Immune System Algorithm (AIS) and Bacterial Foraging optimization (BFO) are used in this study to provide a strategy for identifying the most effective relay to employ in CC. The Relay Selection (RS) technique considers criteria such as outage likelihood, collision risk, Bit Error Rate (BER), and energy utilization during CC. To validate the effectiveness of both techniques, delay, Packet Delivery Ratio (PDR), Residual Energy (RE), and outage probability are employed. © 2022 IEEE.

关键词： Cooperative communication

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Voltage control of Distribution network Based on Parallel control System

Voltage Control of Distribution Network Based on Parallel Co...

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Digital Twins and Parallel Intelligence (DTPI), IEEE International conference on

作者： Zhiwu Wang Xiangyang Zhao Yuan Zhu Linze Yang School of Automation Science and Electrical Engineering Beihang University Beijing China

With the increasing penetration of renewable energy sources in distribution networks, the node voltage crossing limits caused by distributed generation (DG) has brought a very big challenge to the operation and scheduling of distribution networks. Therefore, this paper constructs a parallel control system for distribution network to guarantee the safe and reliable operation of the actual distribution network system. Firstly, we build an equivalent digital twin of the actual distribution network system based on NI PXI controller; then, proposes a centralized distribution network scheduling model based on second-order cone optimization, and coordinates the centralized optimization model based on the digital twin to determine the best voltage control strategy for the actual distribution network system through computational experiments and evaluation; secondly, improves the voltage control ability of the distribution network by parallel execution and coordinated optimization between the constructed artificial system and the actual system; finally verifies the feasibility and significant advantages of the parallel voltage control system for distribution networks by using the IEEE33 distribution network system as an example.

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PCB network analysis and flyneedle path optimization

PCB network analysis and flyneedle path optimization

引用

Computer, control and Robotics (ICCCR), International conference on

作者： Yujie Hu Xiang Luo Xiaofan Li Southeast University School of Mechanical Engineering Nanjing Jiangsu China

Print circuit board is one of the important components of the electronics industry. The Gerber format is a common format for printing circuit boards. Aiming at the lack of software to analyze the network analysis of Gerber files in China, a software has been developed; it can effectively and quickly complete the analysis and drawing of Gerber files, and use Breadth-First-Search to complete the network analysis. Based on the results of network analysis, an ant colony algorithm and genetic algorithm complete the excellent work of the flying needle path of the flying needle tester.

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Proceedings - 2022 3rd International conference on Computer Science and Management Technology, ICCSMT 2022

Proceedings - 2022 3rd International Conference on Computer ...

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3rd International conference on Computer Science and Management Technology, ICCSMT 2022

ISBN: (纸本)9798350320404

The proceedings contain 111 papers. The topics discussed include: design of food safety management information system for western restaurant;research on enterprises’ response to emergencies based on machine learning;design and application of crop variety recommendation and production decision system in agricultural production;research on network structure analysis of English learning in social media;research on the prediction of e-commerce platform user churn based on random forest model;gazetteer enhanced named entity recognition for musical user-generated content;an application study of stochastic service systems based on operations search;risk early warning and response of PPP projects in characteristic towns based on fuzzy group decision- making and matter-element model;design and realization of an online examination system based on maven framework;design and implementation of dynamic interactive e-book system;optimization method for cloud service composition of machine tools under multiple constraints;application of environmental monitoring and control system in agricultural production;and design and implementation of warehouse management system based on Vuetify 3.0 framework.

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Attitude optimization of unmanned helicopters based on spike neural membrane computing 3

Attitude optimization of unmanned helicopters based on spike...

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3rd International conference on Electronics, Electrical and Information Engineering, ICEEIE 2023

作者： Xu, Jiachang Yu, Dongliang Hong, Ding Guo, Jia Jiang, Lin Zhou, TaoJing School of Computer Science and Engineering Anhui University of Science and Technology Anhui Province Huainan City232001 China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and Technology Anhui Province Huainan City232001 China National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China

ISBN: (纸本)9781510671423

The effectiveness of inspection tasks performed by unmanned helicopters during underground inspections is directly influenced by the performance of attitude control. Therefore, it is crucial to optimize the attitude control of unmanned helicopters. Spike neural membrane computing offers Turing computing versatility and high efficiency in various time collaborations. This paper presents a study on attitude optimization control of unmanned helicopters in underground coal mines using spike neural network computing. The approach involves constructing an extended spike neural membrane system based on the attitude dynamics model of an unmanned helicopter, with the aim of further optimizing the system and algorithm. The experimental results demonstrate that the optimized spike neural membrane system is capable of effectively achieving attitude control of the unmanned helicopter under normal conditions. Furthermore, it can successfully maintain the attitude angle within the desired range, even in the presence of wind interference. Additionally, a comparison with traditional sliding mode control and the Designed optimization Model (OSNMS) reveals that the OSNMS proposed in this paper significantly enhances the attitude control performance of unmanned helicopters. © 2023 SPIE.

关键词： Unmanned aerial vehicles (UAV)

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Anthracnose Blight Phytophthora Cucumber leaf Prediction through Six Convolutional ADAM Optimized Deep Convolutional Neural network 3

Anthracnose Blight Phytophthora Cucumber leaf Prediction thr...

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3rd International conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Malarvizhi, N. Devi, M. Shyamala Aswini, J. Manikanta, Manikanta Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamilnadu Chennai India Saveetha Engineering College Tamilnadu Chennai India

ISBN: (纸本)9798350399264

Infections that harm the leaves of cucumber plants are referred as cucumber leaf diseases. These ailments can reduce cucumber yields significantly and have a detrimental effect on cucumber quality. Anthracnose, Blight and Phytophthora are a few typical cucumber leaf ailments. Rapid recognition and appropriate intervention of cucumber leaf disease detection are essential for effective control, but this can be challenging for farmers without access to special knowledge or equipment. This research proposes Six Convolutional ADAM DCNN to predict the cucumber leaf disease showing high efficiency. The proposed method utilizes the Cucumber leaf dataset from KAGGLE. The Cucumber leaf dataset having category of disease as Anthracnose, Blight and Phytophthora and Healthy with 4400 cucumber leaflets samples and applied for preprocessing. Single input, outcome, dense, and average pooling were used to create the six convolutional ADAM DCNN (6A-DCNN) that was suggested. Six convolutional layers and a maximum pooling layer associated with every convolution were used in the construction of the suggested 6A-DCNN model, which was then applied for optimization using ADAM optimizer. The cucumber leaf dataset was divided into 4000 training photos, 200 validation and testing images. For the purpose of evaluating performance indicators, the Cucumber leaf training dataset was applied to the proposed 6A-DCNN model as well as to the VGG, Resnet, MobileNetV2, DenseNet, Inception, Xception, and NASNet Large models. Using a Nvidia Geforce gtx V100 GPU server, 40 training epochs and a sample size of 96 were used while running Python. When compared to other CNN techniques, experimental findings reveal that the proposed 6A-DCNN exhibits the highest accuracy of 98.55%, precision of 98.22%, recall of 97.65%, and FScore of 97.67%. © 2023 IEEE.

关键词： Convolutional neural networks

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Application of Evolutionary Technique for Mapping onto network on Chip 3rd

Application of Evolutionary Technique for Mapping onto Netwo...

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3rd International conference on Recent Advances in Mechanical Engineering Research and Development, ICRAMErd 2022

作者： Choudhury, Subhashree Das, A.S. Misra, Sarita Hossain, Ismail Dash, Taraprasanna Swain, Kaliprasanna Bhubaneswar India J Systems and Control Cuttack India Department of Electrical Engineering GITA Autonomous College Bhubaneswar India Department of Nuclear Power Plants and Renewable Energy Ural Federal University Yekaterinburg Russia Bhubaneswar India Department of Electronics and Communication Engineering GITA Autonomous College Bhubaneswar India

ISBN: (纸本)9789811994920

network on Chip (NoC) is a communication subsystem between various IPs interconnected through an on-chip router inside a single chip. The on-chip interconnection infrastructure connects the different intellectual property (IP) with the help of various industry-standard high-performance (HPC) interconnection topologies. Also, the on-chip interconnection network facilitates the connection of more Processing Elements (PE) to enable deadlock-free scheduling and parallel processing. The present work addresses one important aspect of NoC which is "Optimal Mapping" which allows the participation of cores in an optimal way for achieving low bandwidth requirement, low latency hence greater throughput. To achieve the optical mapping, a Genetic Algorithm is proposed here for the optimization of NoC performance by employing 2D Mesh topology. The genetic algorithm produces consistent and comparable results at par with standard algorithms. A deterministic seeding and successive seeding would yield better results and consume less CPU time. The proposed result is marginally better than NMAP and PSMAP. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： network-on-chip

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